Overcoming collinearity in path analysis of soybean [Glycine max (L.) Merr.] grain oil content

Path analysis allows understanding the direct and indirect effects among traits. Multicollinearity in correlation matrices may cause a bias in path analysis estimates. This study aimed to: a) understand the correlation among soybean traits and estimate their direct and indirect effects on gain oil c...

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Detalles Bibliográficos
Autores principales: Viotto Del Conte, Murilo, Carneiro, Pedro Crescêncio Souza, Vilela de Resende, Marcos Deon, Lopes da Silva, Felipe, Peternelli, Luiz Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244132/
https://www.ncbi.nlm.nih.gov/pubmed/32442213
http://dx.doi.org/10.1371/journal.pone.0233290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244132/
https://www.ncbi.nlm.nih.gov/pubmed/32442213
http://dx.doi.org/10.1371/journal.pone.0233290

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